Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods

Antons, Stephanie and Yip, Sarah W. and Lacadie, Cheryl M. and Dadashkarimi, Javid and Scheinost, Dustin and Brand, Matthias and Potenza, Marc N. (2024) Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods. JOURNAL OF BEHAVIORAL ADDICTIONS, 13 (3). pp. 695-701. ISSN 2062-5871 (print); 2063-5303 (online)

Preview

Text 2006-article-p695.pdf - Published Version Available under License Creative Commons Attribution Non-commercial. Download (1MB) | Preview

Abstract

Craving is a central feature of substance use disorders and disorders due to addictive behaviors. Considerable research has investigated neural mechanisms involved in the development and processing of craving. Recently, connectome-based predictive modeling, a data-driven method, has been used in four studies aiming to predict craving related to substance use, addictive behaviors, and food. Studies differed in methods, samples, and conceptualizations of craving. Within the commentary we aim to compare, contrast and consolidate findings across studies by considering conceptual and methodological features of the studies. We derive a theoretical model on the functional connectivity-craving relationships across studies.

Actions (login required)

Edit Item